首页    期刊浏览 2024年09月30日 星期一
登录注册

文章基本信息

  • 标题:Review On Spyware - A Malware Detection Using Datamining
  • 作者:Mrs. Pushpa ; S.Santhiya
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2018
  • 卷号:60
  • 期号:3
  • DOI:10.14445/22312803/IJCTT-V60P124
  • 出版社:Seventh Sense Research Group
  • 摘要:Nowadays computers are being threatened to unknown malware activities when it is connected to network. (i.e.) in system, malicious software is downloaded and installed without users knowledge. Malicious software is the one which have an intention to harm the system such as slow downing the network performance, increasing the electricity bill or to get confidential information including bank credit card number, login password details in order to misuse, to have a control over users by screen monitoring and key logger to track key or content typed by user. After gaining or processing, all such information is send to hacker by means of this software. One major type of malware is spyware. Spyware is one kind of malicious software act as spy and help hackers to steal personal information to misbehave. This paper presents the high definition , description of malware , its types and data mining concept which pave the way to detect and remove the malware mainly spyware with its tools and techniques.
  • 关键词:Spyware; Data Mining .
Loading...
联系我们|关于我们|网站声明
国家哲学社会科学文献中心版权所有